Roberto Piva

8.3k total citations · 1 hit paper
113 papers, 4.9k citations indexed

About

Roberto Piva is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Roberto Piva has authored 113 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 29 papers in Oncology and 27 papers in Pathology and Forensic Medicine. Recurrent topics in Roberto Piva's work include Lymphoma Diagnosis and Treatment (21 papers), Cancer-related Molecular Pathways (11 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Roberto Piva is often cited by papers focused on Lymphoma Diagnosis and Treatment (21 papers), Cancer-related Molecular Pathways (11 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Roberto Piva collaborates with scholars based in Italy, United States and Switzerland. Roberto Piva's co-authors include Giorgio Inghirami, Roberto Chiarle, Chiara Ambrogio, Claudia Voena, Antonio Migheli, Davide Schiffer, Giuseppe Belardo, Massimo Santoro, David T. Levy and Jennifer E. Howes and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Roberto Piva

109 papers receiving 4.8k citations

Hit Papers

The anaplastic lymphoma kinase in the pathogenesis of cancer 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roberto Piva Italy 41 2.3k 1.5k 1.2k 838 779 113 4.9k
Mariona Graupera Spain 35 2.4k 1.0× 978 0.6× 328 0.3× 494 0.6× 546 0.7× 59 4.6k
Chifumi Kitanaka Japan 40 2.8k 1.2× 1.2k 0.8× 516 0.4× 557 0.7× 794 1.0× 116 4.7k
Francesc Viñals Spain 35 3.8k 1.6× 1.7k 1.1× 279 0.2× 653 0.8× 1.6k 2.1× 78 6.2k
Keiji Shimada Japan 42 2.5k 1.1× 1.4k 0.9× 279 0.2× 694 0.8× 1.0k 1.3× 161 4.9k
Stefano Martinotti Italy 25 1.7k 0.7× 899 0.6× 618 0.5× 216 0.3× 488 0.6× 87 3.6k
Jens Neumann Germany 33 1.4k 0.6× 2.0k 1.3× 785 0.7× 742 0.9× 866 1.1× 172 4.6k
Jeffrey I. Kreisberg United States 42 3.2k 1.4× 852 0.6× 520 0.4× 1.0k 1.2× 694 0.9× 103 5.9k
Yoon S. Cho‐Chung United States 43 4.1k 1.8× 1.9k 1.2× 424 0.4× 464 0.6× 620 0.8× 159 6.4k
Seiichi Takenoshita Japan 41 3.3k 1.4× 2.0k 1.3× 787 0.7× 781 0.9× 1.2k 1.6× 299 6.1k
Motoyasu Saji United States 48 3.6k 1.6× 1.7k 1.1× 559 0.5× 438 0.5× 782 1.0× 133 7.0k

Countries citing papers authored by Roberto Piva

Since Specialization
Citations

This map shows the geographic impact of Roberto Piva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Piva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Piva more than expected).

Fields of papers citing papers by Roberto Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Piva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Piva. The network helps show where Roberto Piva may publish in the future.

Co-authorship network of co-authors of Roberto Piva

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Piva. A scholar is included among the top collaborators of Roberto Piva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roberto Piva. Roberto Piva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lanfranchi, Francesco, Liliana Belgioia, D. Vita, et al.. (2025). Baseline PSMA tumor volume as a prognostic marker in radical radiotherapy for prostate cancer: a propensity score-weighted retrospective analysis. Annals of Nuclear Medicine. 40(2). 178–187.
2.
Babić, Sanja, et al.. (2025). Unlocking the Therapeutic Potential of Algae-Derived Compounds in Hematological Malignancies. Cancers. 17(2). 318–318. 6 indexed citations
3.
Piva, Roberto, et al.. (2024). IDH2 Inhibitors Gain a Wildcard Status in the Cancer Therapeutics Competition. Cancers. 16(19). 3280–3280.
5.
Bauckneht, Matteo, Alberto Miceli, Alessio Signori, et al.. (2023). Combined forced diuresis and late acquisition on [68Ga]Ga-PSMA-11 PET/CT for biochemical recurrent prostate cancer: a clinical practice-oriented study. European Radiology. 33(5). 3343–3353. 9 indexed citations
6.
Bottino, Paolo, Elisa Zanotto, Francesca Sidoti, et al.. (2023). Extraction Bottleneck in the Diagnosis of SARS-CoV-2: Evaluation of an Alternative Protocol Derived from Veterinary Use. Microorganisms. 11(2). 535–535. 1 indexed citations
7.
Elgendy, Ramy, Maria Elena Gelain, Federico Bonsembiante, et al.. (2022). Hypermethylation-Mediated Silencing of CIDEA, MAL and PCDH17 Tumour Suppressor Genes in Canine DLBCL: From Multi-Omics Analyses to Mechanistic Studies. International Journal of Molecular Sciences. 23(7). 4021–4021. 6 indexed citations
8.
Russomanno, Giusy, Sandro Satta, Vahitha B. Abdul‐Salam, et al.. (2020). Therapeutic potential of KLF2-induced exosomal microRNAs in pulmonary hypertension. Nature Communications. 11(1). 1185–1185. 69 indexed citations
9.
Piva, Roberto, Francesco Fiz, Selene Capitanio, et al.. (2017). Comparative diagnostic accuracy of <sup>18</sup>F-FDG PET/CT for breast cancer recurrence. Breast Cancer Targets and Therapy. Volume 9. 461–471. 17 indexed citations
10.
Martinengo, Cinzia, Teresa Poggio, Matteo Menotti, et al.. (2014). ALK-Dependent Control of Hypoxia-Inducible Factors Mediates Tumor Growth and Metastasis. Cancer Research. 74(21). 6094–6106. 44 indexed citations
11.
Fiz, Francesco, Cecilia Marini, Roberto Piva, et al.. (2014). Adult Advanced Chronic Lymphocytic Leukemia: Computational Analysis of Whole-Body CT Documents a Bone Structure Alteration. Radiology. 271(3). 805–813. 15 indexed citations
12.
Sambuceti, Gianmario, Massimo Brignone, Cecilia Marini, et al.. (2012). Estimating the whole bone-marrow asset in humans by a computational approach to integrated PET/CT imaging. European Journal of Nuclear Medicine and Molecular Imaging. 39(8). 1326–1338. 39 indexed citations
13.
Kwee, Ivo, Andrea Rinaldi, Paola M. V. Rancoita, et al.. (2011). Integrated DNA copy number and methylation profiling of lymphoid neoplasms using a single array. British Journal of Haematology. 156(3). 354–357. 8 indexed citations
14.
Piva, Roberto, Elisa Pellegrino, Michela Mattioli, et al.. (2006). Functional validation of the anaplastic lymphoma kinase signature identifies CEBPB and Bcl2A1 as critical target genes. Journal of Clinical Investigation. 116(12). 3171–3182. 133 indexed citations
15.
Inghirami, Giorgio, et al.. (2005). New and Old Functions of STAT3: A Pivitol Target for Individualized Treatment of Cancer. Cell Cycle. 4(9). 1131–1133. 103 indexed citations
16.
Chiarle, Roberto, Yan Fan, Roberto Piva, et al.. (2002). S-Phase Kinase-Associated Protein 2 Expression in Non-Hodgkin's Lymphoma Inversely Correlates with p27 Expression and Defines Cells in S Phase. American Journal Of Pathology. 160(4). 1457–1466. 94 indexed citations
17.
Belardinelli, Romualdo, et al.. (2001). Exercise training intervention after coronary angioplasty: the ETICA trial. Journal of the American College of Cardiology. 37(7). 1891–1900. 233 indexed citations
18.
Chilosi, Marco, Roberto Chiarle, Maurizio Lestani, et al.. (2000). Low expression of p27 and low proliferation index do not correlate in hairy cell leukaemia. British Journal of Haematology. 111(1). 263–271. 18 indexed citations
19.
Servi, Stefano De, Irene Bossi, Antonio Colombo, et al.. (1998). Predictors of major in-hospital ischemic complications and length of hospital stay after coronary stenting.. PubMed. 28(12). 1345–53. 1 indexed citations
20.
Dlouhy, Stephen R., Shirley A. Bayer, Roberto Piva, et al.. (1997). In Situ Hybridization Analysis of Girk2 Expression in the Developing Central Nervous System in Normal and Weaver Mice. Journal of Neuropathology & Experimental Neurology. 56(7). 762–771. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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